Sayaka Funata

557 total citations
10 papers, 363 citations indexed

About

Sayaka Funata is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sayaka Funata has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Sayaka Funata's work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (6 papers) and Viral-associated cancers and disorders (6 papers). Sayaka Funata is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (6 papers) and Viral-associated cancers and disorders (6 papers). Sayaka Funata collaborates with scholars based in Japan and Singapore. Sayaka Funata's co-authors include Keisuke Matsusaka, Atsushi Kaneda, Masashi Fukayama, Masaki Fukuyo, Yasunobu Mano, Masayuki Urabe, Hiroyuki Aburatani, Yasuyuki Seto, Tetsuo Ushiku and Genki Usui and has published in prestigious journals such as Scientific Reports, The Journal of Pathology and Oncotarget.

In The Last Decade

Sayaka Funata

10 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sayaka Funata Japan	10	186	173	121	89	60	10	363
Thiru Prasanna Australia	10	198 1.1×	99 0.6×	88 0.7×	37 0.4×	71 1.2×	17	322
Tenny Mudianto United States	8	181 1.0×	196 1.1×	39 0.3×	53 0.6×	60 1.0×	9	406
Pansong Li China	12	178 1.0×	106 0.6×	40 0.3×	98 1.1×	161 2.7×	29	340
Zhenjian Cai United States	9	92 0.5×	133 0.8×	67 0.6×	39 0.4×	40 0.7×	26	302
Kevin G. Greene United States	7	150 0.8×	101 0.6×	78 0.6×	77 0.9×	22 0.4×	12	336
Tyler Izatt United States	8	94 0.5×	69 0.4×	45 0.4×	64 0.7×	42 0.7×	15	213
Minae An South Korea	6	189 1.0×	110 0.6×	36 0.3×	49 0.6×	95 1.6×	10	309
Frank Ziemann Germany	8	113 0.6×	121 0.7×	35 0.3×	58 0.7×	57 0.9×	10	259
Cigdem Ussakli United States	8	155 0.8×	111 0.6×	70 0.6×	73 0.8×	72 1.2×	10	308
Clarice S. Groeneveld Brazil	7	134 0.7×	118 0.7×	184 1.5×	69 0.8×	102 1.7×	13	340

Countries citing papers authored by Sayaka Funata

Since Specialization

Citations

This map shows the geographic impact of Sayaka Funata's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sayaka Funata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Funata more than expected).

Fields of papers citing papers by Sayaka Funata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayaka Funata. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sayaka Funata. The network helps show where Sayaka Funata may publish in the future.

Co-authorship network of co-authors of Sayaka Funata

This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Funata. A scholar is included among the top collaborators of Sayaka Funata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sayaka Funata. Sayaka Funata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Li, Wenzhe, Atsushi Okabe, Genki Usui, et al.. (2021). Activation of EHF via STAT3 phosphorylation by LMP2A in Epstein‐Barr virus–positive gastric cancer. Cancer Science. 112(8). 3349–3362. 20 indexed citations

Usui, Genki, Keisuke Matsusaka, Yasunobu Mano, et al.. (2020). DNA Methylation and Genetic Aberrations in Gastric Cancer. Digestion. 102(1). 25–32. 77 indexed citations

Okabe, Atsushi, Masaki Fukuyo, Wenzhe Li, et al.. (2020). Epstein‐Barr virus‐positive gastric cancer involves enhancer activation through activating transcription factor 3. Cancer Science. 111(5). 1818–1828. 16 indexed citations

Funata, Sayaka, Kiyotaka Nagahama, Kazunobu Isogaya, et al.. (2019). DNMT3A overexpression is associated with aggressive behavior and enteroblastic differentiation of gastric adenocarcinoma. Annals of Diagnostic Pathology. 44. 151456–151456. 15 indexed citations

Okabe, Atsushi, Sayaka Funata, Keisuke Matsusaka, et al.. (2017). Regulation of tumour related genes by dynamic epigenetic alteration at enhancer regions in gastric epithelial cells infected by Epstein-Barr virus. Scientific Reports. 7(1). 7924–7924. 32 indexed citations

Matsusaka, Keisuke, Sayaka Funata, Masaki Fukuyo, et al.. (2017). Epstein–Barr virus infection induces genome‐wide de novoDNA methylation in non‐neoplastic gastric epithelial cells. The Journal of Pathology. 242(4). 391–399. 41 indexed citations

Funata, Sayaka, Keisuke Matsusaka, Ryota Yamanaka, et al.. (2017). Histone modification alteration coordinated with acquisition of promoter DNA methylation during Epstein-Barr virus infection. Oncotarget. 8(33). 55265–55279. 24 indexed citations

Murata‐Kamiya, Naoko, Takeru Hayashi, Lisa Nagase, et al.. (2016). Host SHP1 phosphatase antagonizes Helicobacter pylori CagA and can be downregulated by Epstein–Barr virus. Nature Microbiology. 1(4). 16026–16026. 76 indexed citations

Funata, Sayaka, Keisuke Matsusaka, Masaki Fukuyo, et al.. (2016). TET2 functions as a resistance factor against DNA methylation acquisition during Epstein-Barr virus infection. Oncotarget. 7(49). 81512–81526. 49 indexed citations

10.

Matsusaka, Keisuke, et al.. (2014). DNA methylation accumulation and its predetermination of future cancer phenotypes. The Journal of Biochemistry. 156(2). 63–72. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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